Compare GPT-4.1 and Claude 3.5 Haiku. Find out which model is better for your specific use case and requirements.
| Feature | GPT-4.1 | Claude 3.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $0.80/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $4.00/ 1M tokens |
1. Smartest non-reasoning model
2. Excellent instruction following
3. Reliable tool calling
4. Large 1M-token context window
5. Low latency (no reasoning step)
6. Multimodal input
7. Supports fine-tuning
1. Intelligence & Benchmark Performance
2. Coding Strength
Scores 40.6% on SWE-bench Verified, outperforming:
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
4. Tool Use & Instruction Following
5. Best Use Cases
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Summarize complex legal contracts into plain English to understand key terms, obligations, and risks.
Analyze forum threads and social comments to uncover urgent problems, voice-of-customer language, and empathy statements for marketing copy.
Generate detailed outlines for blog posts to streamline your writing process and ensure comprehensive coverage.
Write captivating property descriptions that highlight key features and attract potential buyers.
Create video tutorials that teach your persona how to implement your USP solution against specific challenges with clear, actionable guidance.
Generate high-converting email subject lines that boost open rates using proven psychological triggers and A/B testing frameworks.
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